Integration between artificial intelligence, design and teaching of architecture and urbanism: the case of forma autodesk

Authors

DOI:

https://doi.org/10.71068/ackzqp74

Keywords:

Architecture, Artificial Intelligence, Education, Methodology, Design

Abstract

This paper presents the partial results of an ongoing research project that brings together the fields of applied informatics, through analytical artificial intelligence, architectural design, focusing on the stage of volumetric architectural parti and site insertion, and the teaching of Architecture and Urbanism. The objective was to structure a methodology capable of assisting the learning of Architecture and Urbanism through information flows, methods, and active computational techniques for the analysis and generation of architectural alternatives. It was based on the Algorithmic Design Thinking, inspired by the Algorithmic Information Dynamics, understood as a structured process that involves the formulation of guiding principles, the parameterization of variables, and the interaction between the architect and computational tools. The research proposed analytical studies carried out in collaboration with the computer, conceptualizing it as an active partner in the decision-making process. The analytical artificial intelligence was developed using Autodesk Forma software, which enabled the evaluation of environmental and functional constraints, the simulation of different design scenarios, and the exploration of plausible geometric solutions for each context. The results achieved so far have highlighted the didactic and inventive relevance of this approach in theoretical and technological terms, contributing to the systematization of computational methodologies applied to project development, especially within the context of architectural education.

Author Biographies

  • Carlos Quedas Campoy, Universidade São Judas Tadeu, São Paulo, Brasil

    Investigador

  • Amanda Maria Rabelo Souza, Universidade São Judas Tadeu, São Paulo, Brasil

    Investigador

  • Cleide Izidoro, Universidade São Judas Tadeu, São Paulo, Brasil

    Investigador

  • Raul Emanuel Scanavino, Universidade São Judas Tadeu, São Paulo, Brasil

    Investigador

References

Ames, M. G., & Mazzotti, M. (2023). Algorithmic modernity. Oxford University Press.

Aragno, A. (2023). The algorithm: mind of a virtual era – our code of codes. “International Journal of Psychoanalysis and Education: Subject, Action & Society”, 3(2). https://doi.org/10.32111/SAS.2023.3.2.1

Batista, D. S. (2024). Inteligência Artificial (IA) Design e Arquitetura. Conselho de Arquitetura e Urbanismo do Brasil (CAU-BR). https://caubr.gov.br/artigo-inteligencia-artificial-ia-design-e-arquitetura/

Bernstein, P. (2022). Machine Learning: architecture in the age of artificial intelligence. RIBA Publishing.

Campo, M. (2022). Neural Architecture: design and artificial intelligence. ORO Editions.

Chaillou, S. (2022). Artificial Intelligence and architecture: from research to practice. Birkhauser.

Cornwell, A. (2024). What caused Dubai floods? Experts cite climate change, not cloud seeding. “Reuters”. https://www.reuters.com/world/middle-east/what-caused-storm-that-brought-dubai-standstill-2024-04-17/

Corona Martínez, A. (2000). Ensaio sobre o projeto. UnB.

Cross, N. (2011). Design thinking: understanding how designers think and work. Berg Publishers.

Dollens, D. (2002). De lo digital a lo analógico. Editorial Gustavo Gili.

Dollens, D. (2005). Digital botanic architecture. Lumen Books.

Dubbeldam, W. (2006). After-though. “Perspecta”, 38, 12-19. https://www.jstor.org/stable/40482418

Edwards, B. (2004). Guía básica de la sostenibilidad. Editorial Gustavo Gili.

Grunow, E. (2023). Pitá. “Revista Projeto”. https://revistaprojeto.com.br/acervo/perfis/pita/

Kolarevic, B., & Malkawi, A. (2005). Performative Architecture: beyond. Routledge.

Kuhn, T. S. (2012). The structure of scientific revolutions (50th anniversary ed.). The University of Chicago Press.

Lakatos, E. M., & Marconi, M. D. A. (2019). Fundamentos de metodologia científica (8ª ed.). Atlas.

Lawson, B. (2011). Como arquitetos e designers pensam. Oficina de Textos.

Leach, N. (2022). Architecture in the age of Artificial Intelligence: an introduction to AI for architects. Bloomsbury.

Maes, J. (2024). Entenda a relação das mudanças climáticas com o desastre no RS. “Folha de S. Paulo”, 104(34.733). https://www1.folha.uol.com.br/ambiente/2024/05/entenda-a-relacao-das-mudancas-climaticas-com-o-desastre-no-rs.shtml

McDonough, W. (2024). William McDonough delivers keynote to aspiring climate leaders at the Climatebase Fellowship. “McDonough Innovation”. https://mcdonough.com/william-mcdonough-delivers-keynote-to-aspiring-climate-leaders-at-the-climatebase-fellowship/

Oxman, R. (2017). Thinking difference: theories and models of parametric design thinking. “Design Studies”, 52, 4-39. https://www.sciencedirect.com/science/article/abs/pii/S0142694X17300431

Quaroni, L. (1987). Proyectar un edificio: ocho lecciones de arquitectura. Xarait Ediciones.

Redação CAU/SP. (2024). Câmara Temática do CAU/SP para Inteligência Artificial avalia impactos de tecnologias para Arquitetura e Urbanismo. Conselho de Arquitetura e Urbanismo de São Paulo (CAU-SP). https://causp.gov.br/camara-tematica-do-cau-sp-para-inteligencia-artificial-avalia-impactos-de-tecnologias-para-arquitetura-e-urbanismo/

Zellner, P. (1999). Hybrid Space: new forms in digital architecture. Thames & Hudson.

Zenil, H., Kiani, N. A., Abrahão, F. S., & Tegnér, J. N. (2024). Algorithmic Information Dynamics. “Scholarpedia”, 15(7), 53143. https://doi.org/10.4249/scholarpedia.53143

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Published

2025-04-25

How to Cite

Quedas Campoy, C., Rabelo Souza, A. M., Izidoro, C., & Emanuel Scanavino, R. (2025). Integration between artificial intelligence, design and teaching of architecture and urbanism: the case of forma autodesk. Sapiens International Multidisciplinary Journal, 2(2), 1-20. https://doi.org/10.71068/ackzqp74